chromosomePlots: Per-chromosome plots of the copy number arrays from a...

In Clonality: Clonality testing

Description

The function produces a sequence of plots for each chromosome with one-step segmented data of all samples of a particular patient.

Usage

chromosomePlots(data.seg1, ptlist, ptname,nmad)

Arguments

data.seg1	Output of one-step segmentation - output OneStepSeg of clonality.analysis().
ptlist	Vector of the patient IDs in the order of the samples appearing in the data. For example, if the first three tumors belong to patient A, and the following two belong to patient B, then ptlist=c('ptA', 'ptA', 'ptA', 'ptB', 'ptB').
ptname	Name of the patient from ptlist for which the data should be plotted
nmad	Number of MADs (median absolute deviations) that is used for Gain/Loss calls. Used to mark the Gain/Loss threshold on the plots.

Details

The function produces a sequence of plots for each chromosome with one-step segmented data of all samples of a particular patient. The dotted horizontal lines denote the gain and loss thresholds.

Examples

 # See example as in clonality.analysis()
   

Clonality documentation built on Nov. 8, 2020, 7:45 p.m.